Position Description: Collects, reads, and migrates large volumes of raw data from multiple data sources and across disparate platforms, using PL-SQL and NoSQL, and ETL tools. Modernizes core enterprise recordkeeping capabilities using Amazon Web Services (AWS) and Azure. Builds software applications using tools -- Python, Java, and Scala. Drives platform evolution and provides technical leadership in data engineering and Test Driven Development (TDD) for software applications. Drafts business value-oriented user stories. Works with large volume data implementations, Data Analysis, and application platform development for a global customer base in an Agile environment. Primary Responsibilities: Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need. Develops software system testing and validation procedures, programming, and documentation. Develops original and creative technical solutions to support on-going development efforts. Designs applications or subsystems on major projects and for/in multiple platforms. Develops applications for multiple projects supporting several divisional initiatives. Supports and performs all phases of testing leading to implementation. Assists in the planning and conducting of user acceptance testing. Develops comprehensive documentation for multiple applications supporting several corporate initiatives. Performs post-installation testing to identify and resolve technical problems. Establishes project plans for projects of moderate scope. Develops technical modules in support of complex assignments and multi-phase projects. Performs independent and complex technical and functional analysis for multiple simultaneous projects. Education and Experience: Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) migrating on-premises applications to the Cloud. Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation) migrating on-premise applications to the Cloud. Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) building resilient and scalable Cloud solutions using Microsoft Azure Services. DE building data movement patterns using ETL tools; and migrating data between heterogeneous datastores using Azure Data Factory (ADF), PL/SQL, and Informatica Intelligent Services. DE optimizing Oracle database and data transformation capabilities; and performing performance tuning using EXPLAIN PLAN and AWR reports. DE in the Software Development Lifecycle (SDLC) -- analyzing, designing, implementing, and performing version control (using Git/Bitbucket) and post-installation validation; and building applications in Artifactory using pipeline automation tools (Jenkins Core and Script). Salary: $139,050.00 - $149,050.00/year. #PE1M2